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INTERFERENCE REDUCTION THROUGH TASK PARTITIONING IN A ROBOTIC SWARM - Or: "Don't you Step on My Blue Suede Shoes!"

Year: 2009

Type: conference-paper

Abstract: Swarm robotics, foraging, self-organized task allocation, task partitioning, swarm intelligence. This article studies the use of task partitioning as a way to reduce interference in a spatially constrained harvesting task. Interference is one of the key problems in large cooperating groups. We present a simple method to allocate individuals of a robotic swarm to a partitioned task, and show that task partitioning can increase system performance by reducing sources of interference. The method is experimentally studied, both in an environment with a narrow area and an environment without this constraint. The results are analyzed and compared to the case in which task partitioning is not employed. 1

Source: International Conference on Informatics in Control, Automation and Robotics (ICINCO)

DOI: 10.5220/0002195200520059

Authors: Giovanni Pini, Arne Brutschy, Mauro Birattari, Marco Dorigo

Institution: Université Libre de Bruxelles

Language: English

Topic: Modular Robots and Swarm Intelligence

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2112726846

FWCI: 7.324

Cites: 16

Cited by: 24

Related to: 10